Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity 2013 — accepted papers
Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity 2013 is the 2013 edition of the Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, held in Atlanta, Georgia, USA, June 2013 (publisher: Association for Computational Linguistics). The ACL Anthology lists 45 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
All accepted papers (45)
- *SEM 2013 shared task: Semantic Textual SimilarityEneko Agirre, Daniel Cer, Mona Diab et al.our summary
- A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English BooksYoav Goldberg, Jon Orwantour summary
- Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence ModelingMichael Roth, Anette Frank
- BUT-TYPED: Using domain knowledge for computing typed similarityLubomir Otrusina, Pavel Smrz
- Bootstrapping Semantic Role Labelers from Parallel DataMikhail Kozhevnikov, Ivan Titov
- CFILT-CORE: Semantic Textual Similarity using Universal Networking LanguageAvishek Dan, Pushpak Bhattacharyya
- CLaC-CORE: Exhaustive Feature Combination for Measuring Textual SimilarityEhsan Shareghi, Sabine Bergler
- CNGL-CORE: Referential Translation Machines for Measuring Semantic SimilarityErgun Biçici, Josef van Genabith
- CPN-CORE: A Text Semantic Similarity System Infused with Opinion KnowledgeCarmen Banea, Yoonjung Choi, Lingjia Deng et al.
- Choosing the Right Words: Characterizing and Reducing Error of the Word Count ApproachHansen Andrew Schwartz, Johannes Eichstaedt, Eduardo Blanco et al.
- Coarse to Fine Grained Sense Disambiguation in WikipediaHui Shen, Razvan Bunescu, Rada Mihalcea
- DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual SimilarityMd. Sultan, Steven Bethard, Tamara Sumner
- DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity EstimationNikolaos Malandrakis, Elias Iosif, Vassiliki Prokopi et al.
- Distinguishing Common and Proper NounsJudita Preiss, Mark Stevenson
- Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun CompoundsSabine Schulte im Walde, Stefan Müller, Stefan Roller
- HENRY-CORE: Domain Adaptation and Stacking for Text SimilarityMichael Heilman, Nitin Madnani
- INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual SimilarityFernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso et al.
- KLUE-CORE: A regression model of semantic textual similarityPaul Greiner, Thomas Proisl, Stefan Evert et al.
- KnCe2013-CORE:Semantic Text Similarity by use of Knowledge BasesHermann Ziak, Roman Kern
- LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based FeaturesDavide Buscaldi, Joseph Le Roux, Jorge J. García Flores et al.
- MayoClinicNLP–CORE: Semantic representations for textual similarityStephen Wu, Dongqing Zhu, Ben Carterette et al.
- Metaphor Identification as InterpretationEkaterina Shutova
- Montague Meets Markov: Deep Semantics with Probabilistic Logical FormIslam Beltagy, Cuong Chau, Gemma Boleda et al.
Papers with our summary in our library (2)
- UMBC_EBIQUITY-CORE: Semantic Textual Similarity SystemsJoint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilarityLushan Han, Abhay L. Kashyap, Tim Finin, et al.2013 · 398 citations
Top topics
Fields
Arts and Humanities (2)Computer Science (2)
Top authors
Top institutions
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